Griptape - Build Production Ready AI Agents

Griptape Build Production Ready AI Agents

Freemium

#AI agents
#ETL pipeline
#RAG
#cloud deployment
#Workflow Automation
#Enterprise Solutions

What is Griptape?

Griptape empowers developers with a comprehensive suite of tools for building and deploying AI solutions in production environments. The platform consists of two main components: the Griptape AI Framework for development and Griptape AI Cloud for deployment and execution.

Through its proprietary Off-Prompt™ technology, the platform enables better security, performance, and cost optimization while eliminating the complexity of prompt engineering. It features automated data preparation, retrieval-as-a-service capabilities, and a structured runtime environment that supports real-time interfaces and batch workloads.

Features

Off-Prompt™ Technology: Enhanced security, performance, and cost optimization
Automated Data Prep: ETL pipeline for data processing and preparation
Retrieval as a Service: Ready-made and customizable retrieval patterns
Structure Runtime: Support for real-time interfaces and batch workloads
Monitoring Tools: Performance, reliability, and spending tracking
Model Flexibility: Quick switching between models and providers
Infrastructure Management: Managed cloud deployment and scaling

Use Cases

Building AI agents and workflows
Data preparation and transformation
Implementing retrieval-augmented generation (RAG)
Enterprise AI solution deployment
AI pipeline development
Chat memory implementation
Business logic integration

FAQs

What is Off-Prompt™ technology?

Off-Prompt™ is Griptape's proprietary technology that eliminates the need for prompt engineering while providing better security, performance, and lower costs in AI development.
Can I run Langchain code on Griptape Cloud?

Yes, Griptape Cloud supports running Langchain code on its platform.
What types of data sources can be connected to Griptape?

Griptape supports connecting to any data source for extraction, transformation, and loading into its vector database index.